About
Junior Software Engineer with hands-on experience in Python development, machine learning, data engineering, and AI-powered applications. Skilled in building ETL pipelines, ML workflows, data validation systems, and Retrieval-Augmented Generation (RAG) applications using Python, SQL, Scikit-learn, and cloud technologies. Experienced in developing scalable data processing solutions, analytics dashboards, and model evaluation frameworks with exposure to fintech implementation workflows and real-world industrial datasets. Strong foundation in software engineering principles, clean coding practices, debugging, and problem-solving.
Skills & Expertise (49)
Work Experience
Product Implementation Intern
Sarvatra Technologies Pvt. Ltd.
May 2026 - Present
Supported end-to-end implementation of digital payment projects including EFT, UPI, IMPS, NFS UDIR, and Contactless Platinum Card onboarding for cooperative and commercial banks. Managed structured operational datasets within SMUI and carding systems while ensuring schema compliance and error-free uploads. Designed SQL validation checks across multiple relational tables to identify null anomalies, duplicate records, schema mismatches, and invalid transaction states. Investigated transaction logs and audit trails to identify root causes of payment failures; collaborated with production and L2 teams for issue resolution. Automated structured reporting workflows for bank onboarding processes and regulatory tracking requirements. Gained practical exposure to payment switches, CBS integrations, NPCI workflows, transaction monitoring systems, and fintech infrastructure.
Data Science Intern
Kosqu Technolab
Nov 2025 - Feb 2026
Worked on data analytics and ML workflows for Suzlon Energy, supporting structured industrial and operational datasets. Built Python-based preprocessing pipelines processing 50,000+ operational records for analytics and ML workflows. Developed feature engineering pipelines extracting predictive variables from turbine operational datasets. Designed SQL-based validation checks across relational tables for schema validation, null detection, and data quality monitoring. Implemented model evaluation pipelines using ROC-AUC, precision, recall, and confusion matrix metrics. Tracked experiments using MLflow to support reproducible ML workflows and model comparison.
Business Analyst & Data Engineering Intern
AICTE Virtual Internship Programs (AWS & EduSkills/Celonis)
Jan 2025 - Jun 2025
Designed cloud-based ETL and data ingestion pipelines using Amazon S3 and Amazon Redshift for analytics-ready datasets. Implemented schema validation, data completeness checks, and transformation workflows supporting downstream analytics systems. Built Power BI dashboards and analytical reports for KPI tracking, business process analysis, and workflow optimization. Conducted exploratory data analysis on operational datasets to identify workflow inefficiencies and business insights. Worked with Python, SQL, Pandas, Power BI, Amazon S3, and Amazon Redshift across analytics and data engineering workflows.
AI & Machine Learning Intern
Google for Developers & AICTE
Apr 2024 - Jun 2024
Performed exploratory data analysis and preprocessing for supervised machine learning workflows. Developed classification models using Scikit-learn including Logistic Regression and Random Forest. Engineered predictive features and optimized model performance using ROC-AUC, precision, and recall metrics. Applied cross-validation and data transformation techniques to improve model reliability and generalization.
Education
Bachelor of Engineering in Information Technology - P.E.S. Modern College of Engineering
2021 - 2025 · Afghanistan
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Skills (49)
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